Hi guys, Thanks for the nice paper and the code. I tried to reproduce the button results in Fig. 6 from the paper without success. I am just trying to run an inference with the pretrained EDVR model but faced the following problems:
1) In fig. 6 you show x2 upscale but the model outputs the same image size as LR! I presume that this should act as a sharpening model, but is there another model for x2 upscale that you show in the paper?
2) After applying output = data_util.ycbcr2bgr(output), the result is bgr. I converted it to rgb in order to save as png with cv2.imwrite but the result is very poor and far from the rather sharp outcome that you present in the paper.
Hi guys, Thanks for the nice paper and the code. I tried to reproduce the button results in Fig. 6 from the paper without success. I am just trying to run an inference with the pretrained EDVR model but faced the following problems: 1) In fig. 6 you show x2 upscale but the model outputs the same image size as LR! I presume that this should act as a sharpening model, but is there another model for x2 upscale that you show in the paper? 2) After applying output = data_util.ycbcr2bgr(output), the result is bgr. I converted it to rgb in order to save as png with cv2.imwrite but the result is very poor and far from the rather sharp outcome that you present in the paper.
Will appreciate your answer.